With all due respect, these appear to be statistics issues not R
issues. I suggest that they be taken off list and perhaps continued on
stackexchange or some other statistics forum if not privately.
-- Bert
On Mon, Jan 23, 2012 at 8:38 AM, B77S wrote:
> I know this isn't what you are asking, but
I know this isn't what you are asking, but have you considered examining the
relationship between dA and the community density excluding dA?
JulieV wrote
>
> Hi Josh,
>
> Thanks for your response !
>
> Actually, I already tried to plot it with a "classical" regression and I
> know the rel
Hi Josh,
Thanks for your response !
Actually, I already tried to plot it with a "classical" regression and I
know the relation is linear:
dA = 0.765 * dCOM - 0.089
p(slope) < 0.0001
p(intercept) = 0.0003
The fact is that I can not use these results as my variables dA and dCOM are
correlated
Hi Julie,
Mixed effects models are typically used to allow for correlations
between observations of the outcome variable---the fact that you are
trying to model dA ~ dCOM rather assumes you expect some sort of
association between the two. It is not exactly clear what you want to
deal with using a
Hi,
I have a Community (COM) composed of 6 species: A, B, C, D, E & F.
The density of my Community is thus (Eq.1): dCOM = dA + dB + dC + dE + dF
I would like to calculate and plot a linear regression between the density
of each of my species and the density of the whole community (illustrating
how
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